Research Article
Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems
Table 6
Comparison between GLSPSO and
-PSO
CLUS for problems with dimension of 100.
| | Problem | Ackley | Griewank | Rastrigin | Rosenbrock | Sphere |
| | Algorithm | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS | GLSPSO | -PSOCLUS |
| | Best fitness | 3.5148 | 20.9666 | 0.3195 | 0.0022 | 792.004 | 293.5795 | 1378.0 | 1867.2669 | 23.0614 | 0.1970 | | Mean fitness | 3.6709 | 21.0691 | 0.4242 | 0.0230 | 881.0822 | 688.0048 | 1602.0 | 24909.8486 | 27.2534 | 4.7232 | | Worst fitness | 3.7664 | 21.1306 | 0.4992 | 0.0923 | 934.9773 | 848.9927 | 1763.0 | 95519.4585 | 29.1615 | 16.1174 | | Std. Dev. | 0.0551 | 0.0316 | 0.0303 | 0.0255 | 35.2341 | 103.1854 | 90.2874 | 21083.5791 | 1.2253 | 4.2498 |
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